大城市制造业企业空间扩张模式及其对企业效率的影响——以北京市上市企业为例

doi:10.18306/dlkxjz.2021.10.001

Abstract

Abstract:

Firms spatial expansion is of great significance to enterprise efficiency and regional coordinated development. Based on the data of listed manufacturing firms in Beijing and their subsidiaries from 2009 to 2018, this study examined the enterprise spatial expansion model through the changes of spatial distribution of subsidiaries, and analyzed the change of the distance between headquarters and subsidiaries brought by expansion. Furthermore, the dynamic panel measurement method was used to empirically test the impact of the change of geographical distance and economic distance between headquarters and subsidiaries on the efficiency of manufacturing enterprises with different expansion modes. The study found that: First, during the study period, the scale of expansion of the sample listed manufacturing firms in Beijing was relatively large, and the spatial expansion mode has changed from hierarchical diffusion to a combination of hierarchical diffusion and contagious diffusion, with contagious diffusion as the dominant mode. The geographical distance between headquarters and subsidiaries showed an upward trend, and the economic distance first decreased and then increased. Among these firms, technology-intensive firms and non-state-owned firms tend to experience hierarchical diffusion, while non-technology-intensive firms and state-owned firms tend to undergo contagious diffusion. Second, for the firms with contagious diffusion as the main expansion mode, geographical distance between headquarters and subsidiaries was negatively correlated with firm efficiency, but the efficiency of firms that did not take contagious diffusion as the main mode of expansion was not affected by geographical distance. Third, regardless of firm expansion mode, economic distance between headquarters and subsidiaries was positively correlated with firm efficiency. Therefore, different types of manufacturing firms should choose different expansion strategies.

Key words: hierarchical diffusion, contagious diffusion, geographic distance, economic distance, dynamic panel, Beijing

ZHANG Keyun, PEI Xiangye. Spatial expansion mode of manufacturing firms in big cities and its impact on firm efficiency: A case study of Beijing listed firms[J].PROGRESS IN GEOGRAPHY, 2021, 40(10): 1613-1625.

Figures/Tables 8

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References 46

[1]	李小建. 经济地理学[M]. 北京: 高等教育出版社, 2006.
	[ Li Xiaojian. Economic geography. Beijing, China: Higher Education Press, 2006. ]
[2]	王辑慈. 关于企业地理学研究价值的探讨[J]. 经济地理, 1992, 12(4):11-14.
	[ Wang Jici. Discussion on the research value of enterprise geography. Economic Geography, 1992, 12(4):11-14. ]
[3]	Hayter R, Watts H D. The geography of enterprise: A reappraisal[J]. Progress in Human Geography, 1983, 7(2):157-181. doi: 10.1177/030913258300700201
[4]	费洪平. 多厂企业空间演化模式研究[J]. 地理科学, 1993, 13(4):322-330, 391.
	[ Fei Hongping. A study on models of the spatial evolution of multi-plant enterprises. Scientia Geographica Sinica, 1993, 13(4):322-330, 391. ]
[5]	Morrill R L. Waves of spatial diffusion[J]. Journal of Regional Science, 1968, 8(1):1-18. doi: 10.1111/jors.1968.8.issue-1
[6]	Hudson J C. Diffusion in a central place system[J]. Geographical Analysis, 1969, 1(1):45-58. doi: 10.1111/gean.1969.1.issue-1
[7]	McNee R B. Towards a more humanistic economic geography[J]. Tijdschrift voor Economische en Sociale Geografie, 1960, 51:201-206.
[8]	Taylor M, Thrift N. Multinationals and restructuring of the world economy[M]. London, UK: Croom Helm, 1986.
[9]	Jones P. Retail innovation and diffusion: The spread of Asda Stores[J]. Area, 1981, 13(3):197-201.
[10]	Jones P. The locational policies and geographical expansion of multiple retail companies: A case study of M.F.I[J]. Geoforum, 1982, 13(1):39-43. doi: 10.1016/0016-7185(82)90006-9
[11]	Laulajainen R. Chain store expansion in national space[J]. Geografiska Annaler: Series B, Human Geography, 1988, 70(2):293-299. doi: 10.1080/04353684.1988.11879573
[12]	费洪平. 论企业地理研究的理论与方法[J]. 干旱区地理, 1993, 16(1):49-56.
	[ Fei Hongping. Towards theory and methodology in the geography of enterprise. Arid Land Geography, 1993, 16(1):49-56. ]
[13]	贺灿飞, 李燕, 尹薇. 跨国零售企业在华区位研究: 以沃尔玛和家乐福为例[J]. 世界地理研究, 2011, 20(1):12-26.
	[ He Canfei, Li Yan, Yin Wei. Foreign retailers in China: The case of Wal-Mart and Carrefour. World Regional Studies, 2011, 20(1):12-26. ]
[14]	李金昌, 程开明. 等级扩散抑或传染扩散: 国美连锁店的扩张之路兼与沃尔玛比较[J]. 财贸经济, 2008(3):104-109.
	[ Li Jinchang, Cheng Kaiming. Hierarchical diffusion or contagious diffusion: The expansion of Gome and Wal-Mart. Finance and Trade Economics, 2008(3):104-109. ]
[15]	高士博, 谷人旭, 王春萌, 等. “快时尚”企业空间扩张路径及演化特征研究: 以优衣库为例[J]. 世界地理研究, 2017, 26(1):102-111.
	[ Gao Shibo, Gu Renxu, Wang Chunmeng, et al. Research on the expansion path and evolution characteristics of the "Fast Fashion" enterprises: A case study of UNIQLO. World Regional Studies, 2017, 26(1):102-111. ]
[16]	娄帆, 李小建, 陈晓燕. 大型劳动密集型企业快速扩张的区位分析: 以富士康为例[J]. 经济地理, 2016, 36(2):102-108.
	[ Lou Fan, Li Xiaojian, Chen Xiaoyan. Government support and spatial expansion of large labor-intensive enterprise: The case of Foxconn. Economic Geography, 2016, 36(2):102-108. ]
[17]	卢明华, 周悦颜, 刘汉初, 等. 北京企业对河北直接投资的时空动态特征及影响因素[J]. 地理科学进展, 2020, 39(3):389-401. doi: 10.18306/dlkxjz.2020.03.004
	[ Lu Minghua, Zhou Yueyan, Liu Hanchu, et al. Spatiotemporal dynamics and influencing factors of direct investment in Hebei Province by Beijing's enterprises. Progress in Geography, 2020, 39(3):389-401. ]
[18]	胡国建, 陈传明, 陈丽娟, 等. 企业跨区域投资格局及其影响因素: 以福建上市企业为例[J]. 经济地理, 2018, 38(9):138-146.
	[ Hu Guojian, Chen Chuanming, Chen Lijuan, et al. Enterprise's cross-region investment pattern and its determinants: A case study of Fujian listed firms. Economic Geography, 2018, 38(9):138-146. ]
[19]	徐宁, 李仙德. 上海上市公司对外投资网络演变及其影响因素研究[J]. 地理科学进展, 2020, 39(4):553-566. doi: 10.18306/dlkxjz.2020.04.003
	[ Xu Ning, Li Xiande. Evolution of Shanghai listed companies' outward investment network and its determinants. Progress in Geography, 2020, 39(4):553-566. ]
[20]	Giroud X. Proximity and investment: Evidence from plant-level data[J]. The Quarterly Journal of Economics, 2013, 128(2):861-915. doi: 10.1093/qje/qjs073
[21]	Kalnins A, Lafontaine F. Too far away? The effect of distance to headquarters on business establishment performance[J]. American Economic Journal: Microeconomics, 2013, 5(3):157-179. doi: 10.1257/mic.5.3.157
[22]	Beugelsdijk S, Nell P C, Ambos B. When do distance effects become empirically observable? An investigation in the context of headquarters value creation for subsidiaries[J]. Journal of International Management, 2017, 23(3):255-267. doi: 10.1016/j.intman.2017.03.002
[23]	李彬, 郑雯. 母子公司距离、风险承担与公司效率[J]. 经济管理, 2018, 40(4):50-68.
	[ Li Bin, Zheng Wen. Parent-subsidiary companies' distance, risk-taking and firm efficiency. Business Management Journal, 2018, 40(4):50-68. ]
[24]	谢建国. 外商直接投资与中国的出口竞争力: 一个中国的经验研究[J]. 世界经济研究, 2003(7):34-39.
	[ Xie Jianguo. Foreign direct investment and China's export competitiveness: An empirical study of China. World Economy Studies, 2003(7):34-39. ]
[25]	李强, 郑江淮. 基于产品内分工的我国制造业价值链攀升: 理论假设与实证分析[J]. 财贸经济, 2013(9):95-102.
	[ Li Qiang, Zheng Jianghuai. Value chain upgrading of China's manufacturing industry based on intra-product specialization: Theoretical assumptions and empirical analysis. Finance & Trade Economics, 2013(9):95-102. ]
[26]	曹春方, 贾凡胜. 异地商会与企业跨地区发展[J]. 经济研究, 2020, 55(4):150-166.
	[ Cao Chunfang, Jia Fan-sheng. The chamber of commerce in different places and the cross-regional development of firms. Economic Research Journal, 2020, 55(4):150-166. ]
[27]	Berry H, Guillén M F, Zhou N. An institutional approach to cross-national distance[J]. Journal of International Business Studies, 2010, 41(9):1460-1480. doi: 10.1057/jibs.2010.28
[28]	Ghemawat P. Distance still matters. The hard reality of global expansion[J]. Harvard Business Review, 2001, 79(8):137-140,142-147, 162. pmid: 11550630
[29]	林毅夫. 发展战略、自生能力和经济收敛[J]. 经济学(季刊), 2002, 1(1):269-300.
	[ Lin Yifu. Development strategy, viability and economic convergence. China Economic Quarterly, 2002, 1(1):269-300. ]
[30]	Olley G S, Pakes A. The dynamics of productivity in the telecommunications equipment industry[J]. Econometrica, 1996, 64(6):1263-1297. doi: 10.2307/2171831
[31]	张志强. 动态面板模型参数估计方法的比较研究[J]. 统计研究, 2017, 34(9):108-119.
	[ Zhang Zhiqiang. A comparative study on dynamic panel parameter estimation. Statistical Research, 2017, 34(9):108-119. ]
[32]	Blundell R, Bond S. Initial conditions and moment restrictions in dynamic panel data models[J]. Journal of Econometrics, 1998, 87(1):115-143. doi: 10.1016/S0304-4076(98)00009-8
[33]	席强敏. 企业迁移促进了全要素生产率提高吗? 基于城市内部制造业迁移的验证[J]. 南开经济研究, 2018(4):176-193.
	[ Xi Qiangmin. Does firm relocation promote the improvement of TFP? Verification based on manufacturing relocation within city. Nankai Economic Studies, 2018(4):176-193. ]
[34]	李小建. 关于公司地理研究的几个问题[J]. 经济地理, 1991, 11(3):42-46.
	[ Li Xiaojian. Several questions about the study of corporate geography. Economic Geography, 1991, 11(3):42-46. ]
[35]	Bailey N, Li S L. Cross-national distance and FDI: The moderating role of host country local demand[J]. Journal of International Management, 2015, 21(4):267-276. doi: 10.1016/j.intman.2014.11.002
[36]	陈岩, 翟瑞瑞, 郭牛森. 基于多元距离视角的中国对外直接投资决定因素研究[J]. 系统工程理论与实践, 2014, 34(11):2760-2771.
	[ Chen Yan, Zhai Ruirui, Guo Niusen. Effects of multiple distances on explaining outward FDI of Chinese firms. Systems Engineering: Theory & Practice, 2014, 34(11):2760-2771. ]
[37]	Maskell P, Malmberg A. Myopia, knowledge development and cluster evolution[J]. Journal of Economic Geography, 2007, 7(5):603-618. doi: 10.1093/jeg/lbm020
[38]	李国平, 孙铁山. 网络化大都市: 城市空间发展新模式[J]. 城市发展研究, 2013, 20(5):83-89.
	[ Li Guoping, Sun Tieshan. Networked metropolis: A new urban spatial development model. Urban Development Studies, 2013, 20(5):83-89. ]
[39]	陈立敏, 王小瑕. 中国企业并购绩效的影响因素研究: 基于资源基础观与制度基础观的实证分析[J]. 浙江大学学报(人文社会科学版), 2016, 46(6):162-174.
	[ Chen Limin, Wang Xiaoxia. Influencing factors of Chinese firms' merger & acquisition performance: An empirical study based on the resource-based view and institution-based view. Journal of Zhejiang University (Humanities and Social Sciences), 2016, 46(6):162-174. ]
[40]	Melo P C, Graham D J, Noland R B. A meta-analysis of estimates of urban agglomeration economies[J]. Regional Science and Urban Economics, 2009, 39(3):332-342. doi: 10.1016/j.regsciurbeco.2008.12.002
[41]	蔡之兵. 高质量发展的区域经济布局的形成路径: 基于区域优势互补的视角[J]. 改革, 2020(8):132-146.
	[ Cai Zhibing. The formation path of regional economic layout with high-quality development: Based on the perspective of regional complementary advantages. Reform, 2020(8):132-146. ]
[42]	李文宇, 刘洪铎. 多维距离视角下的“一带一路”构建—空间、经济、文化与制度[J]. 国际经贸探索, 2016, 32(6):99-112.
	[ Li Wenyu, Liu Hongduo. The construction of "One Belt One Road" from the perspective of multi-dimension: Space, economy, culture and institution. International Economics and Trade Research, 2016, 32(6):99-112. ]
[43]	Wernerfelt B. A resource-based view of the firm[J]. Strategic Management Journal, 1984, 5(2):171-180. doi: 10.1002/(ISSN)1097-0266
[44]	Hitt M A, Hoskisson R E, Kim H. International diversification: Effects on innovation and firm performance in product-diversified firms[J]. Academy of Management Journal, 1997, 40(4):767-798.
[45]	赵凤, 王铁男, 张良. 多元化战略对企业绩效影响的实证研究[J]. 中国软科学, 2012(11):111-122.
	[ Zhao Feng, Wang Tienan, Zhang Liang. An empirical study on the effect of diversification strategy on firm performance. China Soft Science, 2012(11):111-122. ]
[46]	陈强. 高级计量经济学及Stata应用[M]. 2版. 北京: 高等教育出版社, 2014.
	[ Chen Qiang. Advanced econometrics and Stata applications. 2nd Edition. Beijing, China: Higher Education Press, 2014. ]

变量	均值	标准差	最小值	最大值
ln TFP	2.074	0.168	1.619	2.478
ln (GD+1)	0.393	0.184	0	0.775
ED	1.449	1.589	-3.226	5.232
Roa	5.694	7.483	-26.710	77.190
ln Age	2.659	0.380	0	3.466
ln Size	13.043	1.467	10.331	17.440
Growth	26.909	57.075	-69.313	538.274

变量	所有企业	技术密集型企业	非技术密集型企业	国有企业	非国有企业
L.ln TFP	0.429^***	0.789^***	0.457^***	0.451^***	0.741^***
	(3.276)	(13.384)	(3.717)	(5.364)	(7.180)
ln (GD+1)	-0.115^*	-0.049	-0.152^**	-0.055^*	0.061
	(-1.801)	(-0.757)	(-2.252)	(-1.655)	(1.366)
L.ln (GD+1)	0.073	0.035	0.054	-0.060^*	-0.054
	(1.207)	(0.520)	(0.914)	(-1.776)	(-1.296)
Roa	0.001^**	0.001	0.003^***	0.003^***	0.001
	(2.387)	(1.606)	(2.991)	(3.049)	(0.849)
ln Age	0.043	0.001	0.044	0.030^**	0.013
	(1.473)	(0.096)	(1.325)	(2.037)	(0.392)
ln Size	0.054^***	0.017^**	0.053^***	0.055^***	0.018^*
	(3.447)	(2.215)	(3.383)	(6.380)	(1.945)
Growth	0.001	0.001^**	-0.001	-0.001	0.001^***
	(0.990)	(2.315)	(-0.386)	(-0.933)	(2.882)
常数	0.386^***	0.225^***	0.370^*	0.390^***	0.266^***
	(4.238)	(2.767)	(1.931)	(3.989)	(2.638)
AR(1)检验P值	0.002	0.001	0.061	0.017	0.003
AR(2)检验P值	0.135	0.117	0.369	0.387	0.268
Sargan检验	0.527	0.551	0.417	0.507	0.191
观测值	718	470	248	370	348

变量	所有企业	技术密集型企业	非技术密集型企业	国有企业	非国有企业
L.ln TFP	0.510^***	0.728^***	0.497^**	0.217	0.729^***
	(3.394)	(6.906)	(2.302)	(1.225)	(8.634)
ED	0.002^**	0.001^*	0.003^*	0.002^*	0.003^**
	(2.037)	(1.891)	(1.940)	(1.675)	(1.983)
L.ED	0.001^*	0.000	0.002	0.001	-0.001
	(1.865)	(0.164)	(1.150)	(1.283)	(-0.469)
Roa	0.001^***	0.001^*	0.003^**	0.001^*	0.001
	(3.068)	(1.935)	(2.024)	(1.794)	(0.956)
ln Age	0.003	0.020	0.030	0.041^*	0.021
	(0.140)	(1.051)	(1.276)	(1.730)	(0.674)
ln Size	0.056^***	0.020^**	0.056^**	0.077^***	0.019^**
	(3.302)	(2.247)	(2.089)	(3.415)	(2.134)
Growth	0.001	0.001^***	-0.001	-0.001	0.001^***
	(1.553)	(3.118)	(-0.089)	(-0.175)	(3.385)
常数	0.284^***	0.246^***	0.226^*	0.514^***	0.256^***
	(2.596)	(2.942)	(1.940)	(3.425)	(3.429)
AR(1)检验P值	0.002	0.002	0.067	0.182	0.003
AR(2)检验P值	0.147	0.139	0.340	0.334	0.259
Sargan检验	0.558	0.403	0.354	0.266	0.367
观测值	718	470	248	370	348

Spatial expansion mode of manufacturing firms in big cities and its impact on firm efficiency: A case study of Beijing listed firms

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